Think inside your AI world.

HubSpot through Unl

HubSpot lists every deal you have. It won’t tell you which ones are worth your week — that judgement is your ICP and your rules, applied to the list.

HubSpot through Unl reads your live CRM — contacts, companies, deals, activities — against the ideal-customer profile and the follow-up rules you have ratified, so you get a focus list with the reasoning, not the full pipeline to triage by hand.

What HubSpot holds

HubSpot’s official remote MCP server (OAuth 2.1 with PKCE) exposes the CRM surface, respecting your permissions:

  • Contacts, companies, deals and tickets
  • Line items, quotes, invoices and orders
  • Products, subscriptions and segments
  • Activities and marketing content

What the naked read gives you

The naked read hands back all fourteen open deals. Accurate, undifferentiated — it can’t tell a fit from a long shot because your definition of a fit isn’t in HubSpot.

The frame judges the data it is given; it does not verify the source’s accuracy.

What changes when HubSpot is read measured

Say your ICP is SaaS companies of 10–50 staff, and you hold a rule: any deal with no activity for 21 days is going cold.

“Where should I spend this week?” returns, measured: nine of the fourteen fit your ICP; three of those breach your 21-day rule and need reviving now; two never matched your profile and aren’t worth chasing. Your focus list is the nine. HubSpot supplied the deals; your ratified ICP and rule supplied the cut and the reason for each.

And back again

If you decide one of the “never worth chasing” two is actually strategic, you record that exception in Unl — and the next read stops treating it as irrelevant.

The answer comes back measured against what you already decided, and why.

The lane is live and open to this tool today: one box, paste anything. If it speaks MCP, Unl can reach it. Readings arrive unprompted, the data beside the criterion; Unl is a courier, not a warehouse, and keeps only your keys and the frame.

Read further

Questions people ask

Can AI filter my HubSpot pipeline to my ideal customers?

Yes, through Unl. You ratify your ICP and your follow-up rules (with the reasoning), and the live HubSpot pipeline is measured against them — the answer is a focus list that names who fits, who has gone quiet past your limit, and who was never a match.

How do I connect HubSpot to Claude?

HubSpot offers an official remote MCP server that respects your permissions, for direct CRM access. Through Unl the same records arrive measured against your ratified ICP and rules, so the pipeline reads as a prioritised list rather than a raw dump.

Does Unl edit my HubSpot records?

Unl reads through HubSpot, and can write back on your explicit gesture — it never acts as a side effect of a read.

What this is

Think inside your AI world — you stay in command

Unlimitless (Unl to friends) holds what you've settled, reads what your tools are showing, and catches what's changed out in the world — and hands your AI whatever bears on the work, the moment it's needed, without you asking. The right thing, in front of the model, unprompted, with you in command of the call. So you keep moving toward what you set out to build, on top of everything you've already decided.

It plugs into Claude, Claude Code, ChatGPT and Cursor as an MCP connector. Quick to connect, in a couple of steps.

Unlimitless is open now to invited Alpha. Apply for the Beta waitlist to come in ahead of the full launch:

Alpha is invite-only · free at launch.